DUT Me

Maths equations which we not really implemented

Inspiration

Simulation is important in industrial development. We plan to do the optimization of a simulated test-system to reduce measuring time and increase product output.

What it does

The optimization code maximizes the output per 24h

How we built it

We wrote a Python testing script based on the DUT simulator source code.

Challenges we ran into

We spent the first night to understand the source code of the simulator.
The generated samples from the DUT simulator is random. So it's hard to find the pattern/correlation between measurements.
Lack of theoretical knowledge in data science and machine learning
Nobody really knows Git

Accomplishments that we're proud of

Group work in a team of all Hackathon beginners.
The measurement time is reduced by (a few) percents!!!
No black-box ML/DL model used!

What we learned

Git SCM via GitHub
Python framework: pandas, numpy, scipy
Pycharm IDE

What's next for DUT Me

clean the messy coding style of Python test script
make an accurate DUT simulator based on the real device
Create a database of simulated DUT with different number of measurements (N) and number of measurement ports (P)